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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: guten |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# guten |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1054 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 6.3418 | 0.29 | 500 | 5.3350 | |
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| 5.0312 | 0.58 | 1000 | 4.9322 | |
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| 4.6974 | 0.87 | 1500 | 4.6839 | |
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| 4.4435 | 1.17 | 2000 | 4.5502 | |
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| 4.2915 | 1.46 | 2500 | 4.4247 | |
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| 4.1863 | 1.75 | 3000 | 4.3206 | |
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| 4.0756 | 2.04 | 3500 | 4.2468 | |
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| 3.89 | 2.33 | 4000 | 4.2082 | |
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| 3.8602 | 2.62 | 4500 | 4.1531 | |
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| 3.8239 | 2.91 | 5000 | 4.1034 | |
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| 3.6381 | 3.21 | 5500 | 4.1005 | |
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| 3.5871 | 3.5 | 6000 | 4.0692 | |
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| 3.559 | 3.79 | 6500 | 4.0366 | |
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| 3.481 | 4.08 | 7000 | 4.0358 | |
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| 3.3172 | 4.37 | 7500 | 4.0295 | |
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| 3.3056 | 4.66 | 8000 | 4.0174 | |
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| 3.295 | 4.95 | 8500 | 4.0045 | |
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| 3.1594 | 5.24 | 9000 | 4.0171 | |
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| 3.1303 | 5.54 | 9500 | 4.0157 | |
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| 3.1295 | 5.83 | 10000 | 4.0147 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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